Thanks to visit codestin.com
Credit goes to github.com

Skip to content

DOC Fix some dead links in what's new 0.20 #10104

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Merged
merged 1 commit into from
Nov 10, 2017
Merged

DOC Fix some dead links in what's new 0.20 #10104

Changes from all commits
Commits
Show all changes
1 commit
Select commit
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
14 changes: 7 additions & 7 deletions doc/whats_new/v0.20.rst
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -46,7 +46,7 @@ Classifiers and regressors

Model evaluation

- Added the :func:`metrics.balanced_accuracy` metric and a corresponding
- Added the :func:`metrics.balanced_accuracy_score` metric and a corresponding
``'balanced_accuracy'`` scorer for binary classification.
:issue:`8066` by :user:`xyguo` and :user:`Aman Dalmia <dalmia>`.

Expand All @@ -61,11 +61,11 @@ Classifiers and regressors
and :user:`Minghui Liu <minghui-liu>`.

- Add `named_estimators_` parameter in
:class:`sklearn.ensemble.voting_classifier` to access fitted
:class:`ensemble.VotingClassifier` to access fitted
estimators. :issue:`9157` by :user:`Herilalaina Rakotoarison <herilalaina>`.

- Add `var_smoothing` parameter in
:class:`sklearn.naive_bayes.GaussianNB` to give a precise control over
:class:`naive_bayes.GaussianNB` to give a precise control over
variances calculation. :issue:`9681` by :user:`Dmitry Mottl <Mottl>`.

- Add `n_iter_no_change` parameter in
Expand All @@ -75,9 +75,9 @@ Classifiers and regressors
maximum number of epochs to not meet ``tol`` improvement.
:issue:`9456` by :user:`Nicholas Nadeau <nnadeau>`.

- A parameter ``check_inverse`` was added to :class:`FunctionTransformer`
to ensure that ``func`` and ``inverse_func`` are the inverse of each
other.
- A parameter ``check_inverse`` was added to
:class:`preprocessing.FunctionTransformer` to ensure that ``func`` and
``inverse_func`` are the inverse of each other.
:issue:`9399` by :user:`Guillaume Lemaitre <glemaitre>`.

Model evaluation and meta-estimators
Expand Down Expand Up @@ -133,7 +133,7 @@ Decomposition, manifold learning and clustering
:user:`James Bourbeau <jrbourbeau>`.

- Fixed a bug where the ``fit`` method of
:class:`cluster.affinity_propagation_.AffinityPropagation` stored cluster
:class:`cluster.AffinityPropagation` stored cluster
centers as 3d array instead of 2d array in case of non-convergence. For the
same class, fixed undefined and arbitrary behavior in case of training data
where all samples had equal similarity.
Expand Down